Samples from the sliding window. Often in real-world applications, as time passes, samples start to drift away from the original expected distribution (especially important in clinical settings) [1]}. To compute sequential mistrust scores, TRUST-LAPSE utilizes a sliding window of a fixed window size over the last few samples and compares it with reference window sampled from the coreset.
Thus, when TRUST-LAPSE raises an alert, a practitioner can look at the sliding window as a whole and compare it with the reference window to identify drifts that are only visible by looking at many samples at once.
